A novel Python program for implementation of quality control in the ELISA

The use of semi-quantitative assays such as the enzyme-linked immunosorbent assay (ELISA) requires stringent quality control of the data. However, such quality control is often lacking in academic settings due to unavailability of software and knowledge. Therefore, our aim was to develop methods to...

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Veröffentlicht in:	Journal of immunological methods Jg. 448; S. 80 - 84
Hauptverfasser:	Wetzel, Hanna N., Cohen, Cinder, Norman, Andrew B., Webster, Rose P.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier B.V 01.09.2017
Schlagworte:	Analysis of Variance Animals Antibodies, Monoclonal - blood Automation, Laboratory batch systems blood blood sampling Calibration Cocaine - immunology Cocaine-Related Disorders - blood Cocaine-Related Disorders - diagnosis Cocaine-Related Disorders - immunology colorimetry computer software data collection ELISA enzyme-linked immunosorbent assay Enzyme-Linked Immunosorbent Assay - standards goats Immunoglobulin Fab Fragments - blood Levey-Jennings control charts Mice monoclonal antibodies Predictive Value of Tests Python Quality Control Reference Standards Reproducibility of Results Software Design Software Validation Substance Abuse Detection - methods Substance Abuse Detection - standards Levey-Jennings control charts Quality control ELISA Python
ISSN:	0022-1759, 1872-7905, 1872-7905
Online-Zugang:	Volltext
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